Evidence map›Paper›PMID 29050980›Full record

ArticleJournal of clinical lipidology

Association of low-density lipoprotein pattern with mortality after myocardial infarction: Insights from the TRIUMPH study.

Yashashwi Pokharel, Yuanyuan Tang, Bhaskar Bhardwaj, Krishna K Patel, Mohammed Qintar, James H O'Keefe, Krishnaji R Kulkarni, Peter H Jones, Seth S Martin, Salim S Virani and 1 more

Abstract read
In one paragraph

Article in Journal of clinical lipidology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Prevalence, treatment, and control of severe hyperlipidemia.American journal of preventive cardiology · 2020
    Article
  9. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Yashashwi PokharelDepartment of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA; Department of Cardiology, Saint Luke's Mid America Heart Institute, Kansas City, MO, USA. Electronic address: pokharely@umkc.edu.
Yuanyuan TangDepartment of Cardiology, Saint Luke's Mid America Heart Institute, Kansas City, MO, USA.
Bhaskar BhardwajDepartment of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA; Department of Medicine, Saint Luke's Mid America Heart Institute, Kansas City, MO, USA.
Krishna K PatelDepartment of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA; Department of Cardiology, Saint Luke's Mid America Heart Institute, Kansas City, MO, USA.
Mohammed QintarDepartment of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA; Department of Cardiology, Saint Luke's Mid America Heart Institute, Kansas City, MO, USA.
James H O'KeefeDepartment of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA; Department of Cardiology, Saint Luke's Mid America Heart Institute, Kansas City, MO, USA.
Krishnaji R KulkarniVAP Diagnostics Laboratory (formerly Atherotech Diagnostics Lab), Birmingham, AL, USA.
Peter H JonesDepartment of Medicine, Baylor College of Medicine, Houston, TX, USA.
Seth S MartinDepartment of Medicine, Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins University, Baltimore, MD, USA.
Salim S ViraniDepartment of Medicine, Baylor College of Medicine, Houston, TX, USA; Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations, Houston, TX, USA.
John A SpertusDepartment of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA; Department of Cardiology, Saint Luke's Mid America Heart Institute, Kansas City, MO, USA.

Funding

SCCOR in Cardiac Dysfunction and DiseaseP50HL077113 · NHLBI · WASHINGTON UNIVERSITY · PI KELLY, DANIEL PATRICK · 2005 to 2009
$13.4M
CARDIOVASCULAR OUTCOMES RESEARCH TRAINING PROGRAMT32HL110837 · NHLBI · UNIVERSITY OF MISSOURI KANSAS CITY · PI JOHN A SPERTUS · 2012 to 2026
$5.0M
NHLBI NIH HHS P50 HL077113NHLBI NIH HHS T32 HL110837
6 · The paper itself

Abstract

backgroundStudies of incident coronary heart disease risk within low-density lipoprotein (LDL) subclass (small, dense vs large, buoyant) have shown mixed results. No prospective cohort study has examined the association of small, dense, or large, buoyant LDL with mortality after myocardial infarction (MI).

objectiveThe objective of the study was to examine association of LDL pattern after MI and death.

methodsIn 2476 patients hospitalized for MI, LDL pattern (A [large, buoyant], A/B [mixed], and B [small, dense]) was established by ultracentrifugation using Vertical Auto Profile. Using time-to-event analysis, we examined the association with 5-year mortality within LDL patterns, after adjusting for important patient and treatment characteristics. We additionally adjusted for LDL cholesterol (LDL-C) and triglyceride levels and used directly measured LDL-C and non-high-density lipoprotein cholesterol as exposures.

resultsPatterns A, A/B, and B were present in 39%, 28%, and 33% of patients, respectively, with incident rates (per 1000 patient-years) of 50, 34, and 24 for all-cause and 24, 19, and 10 for CV mortality. The hazard ratios (95% confidence interval) with LDL patterns A/B and B compared with pattern A were 0.77 (0.61, 0.99) and 0.67 (0.51, 0.88) for all-cause, 0.94 (0.67, 1.33) and 0.69 (0.46, 1.03) for cardiovascular, and 0.64 (0.45, 0.91) and 0.65 (0.45, 0.93) for noncardiovascular mortalities, respectively. Results were similar when further adjusted for LDL-C and triglycerides, or with LDL-C and non-high-density lipoprotein cholesterol as exposures.

conclusionCompared with LDL pattern A, pattern B was significantly associated with reduced all-cause and non-CV mortalities with a trend for lower CV mortality after MI, independent of LDL-C and triglycerides.

Indexed as

AdultAgedCholesterol, HDLCholesterol, LDLCohort StudiesFemaleHumansMaleMiddle AgedMyocardial InfarctionProportional Hazards ModelsRisk FactorsTriglyceridesCholesterol, HDLCholesterol, LDLTriglyceridesDensityLow-density lipoprotein patternMortalityMyocardial infarctionParadoxSize

Identifiers

PMID29050980
PMCPMC5698121

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.